Essays about: "Distribution methods"
Showing result 1 - 5 of 1223 essays containing the words Distribution methods.
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1. Tracing Tempera through Time-of-Flight Secondary Ion Mass Spectrometry Analysing samples from four icons from the Nationalmuseum collection
University essay from Göteborgs universitet/Institutionen för kulturvårdAbstract : This thesis will analyze samples in form of cross-sections taken from four icons of the Nationalmuseum collection, two Russian, from the 18th and 19th centuries and two Greek, also from the 18th and 19th centuries, using the Time-of-Flight Secondary Ion Mass Technique. The objective is to detect, isolate and, if possible, identify the amino acids and the fatty acids in the protein and lipids used in the tempera, the ground, and the olifa using Time of Flight Secondary Ion Mass Spectrometry. READ MORE
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2. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution
University essay from Lunds universitet/Statistiska institutionenAbstract : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). READ MORE
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3. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE
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4. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. READ MORE
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5. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
